code: def test_bts_metrics():
      X, y, cv, _, model = _prepare_data()
      cv_result = set(
          cross_val_score(model, X, y, cv=cv, scoring="roc_auc")
      )
      assert cv_result == {
          0.4559664254320743,
          0.4767320313326982,
          0.4811855209016638,
          0.48947924927306374,
          0.5150543675843606,
      }
  
file_path: upgini/tests/test_blocked_time_series.py
imports: import re
  import pandas
  import pytest
  from sklearn.linear_model import LogisticRegression
  from sklearn.model_selection import cross_val_score
  from upgini.resource_bundle import bundle
  from upgini.utils.blocked_time_series import BlockedTimeSeriesSplit
label_desc: Use image node_id 3 for calling a global function with example usage: test_bts_metrics() without return types